Load balancing in cloud-based content delivery networks using adaptive server activation/deactivation

Authors:
Maggie Mashaly;Paul J. Kühn
Affiliations:
German University in Cairo (GUC), Cairo/Egypt;University of Stuttgart, Stuttgart/Germany
Venue:
Proceedings of the 24th International Teletraffic Congress
Year:
2012

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Abstract

Content delivery networks have been widely used for many years providing service for millions of users. Lately, many of these networks are migrating to the cloud for its numerous advantages such as lower costs, increased performance, availability and flexibility. This work introduces a new approach towards load balancing in cloud-based content delivery networks. By applying adaptive server activations/deactivations at each data center in the cloud, overloaded data centers can move the extra load to lightly loaded ones without affecting the performance of any of the data centers or violating service level agreements (SLA) of users.. In addition to load balancing this method allows better resource management by adapting the number of active resources inside the data center to the offered load.